Dong-Kyu Chae
Orcid: 0000-0002-5410-6391
According to our database1,
Dong-Kyu Chae
authored at least 64 papers
between 2013 and 2024.
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Bibliography
2024
Inf. Fusion, May, 2024
What Does a Model Really Look at?: Extracting Model-Oriented Concepts for Explaining Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2024
IEICE Trans. Inf. Syst., 2024
Practical algorithms for weakly flexible job scheduling for smart mold component process.
Future Gener. Comput. Syst., 2024
GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution.
CoRR, 2024
Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives.
CoRR, 2024
P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds.
CoRR, 2024
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Bootstrap Your Own PLM: Boosting Semantic Features of PLMs for Unsuperivsed Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
DiaFrame: A Framework for Understanding Bengali Dialects in Human-AI Collaborative Creative Writing Spaces.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
HiLite: Hierarchical Level-implemented Architecture Attaining Part-Whole Interpretability.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Inf. Sci., May, 2023
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning.
CoRR, 2023
Look Ahead: Improving the Accuracy of Time-Series Forecasting by Previewing Future Time Features.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
An Interpretable Framework for Identifying Cerebral Microbleeds and Alzheimer's Disease Severity using Multimodal Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Self-Supervised Learning with Attention-based Latent Signal Augmentation for Sleep Staging with Limited Labeled Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Graph Summarization for Human-Understandable Visualization towards CVE Data Analysis.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022
2021
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
2020
Concurr. Comput. Pract. Exp., 2020
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Incremental C-Rank: An effective and efficient ranking algorithm for dynamic Web environments.
Knowl. Based Syst., 2019
Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation.
Knowl. Based Syst., 2019
Comput. Sci. Inf. Syst., 2019
Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework.
IEEE Access, 2019
Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering.
Proceedings of the World Wide Web Conference, 2019
2018
J. Inf. Sci., 2018
Inf. Sci., 2018
On identifying k-nearest neighbors in neighborhood models for efficient and effective collaborative filtering.
Neurocomputing, 2018
An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously.
IEICE Trans. Inf. Syst., 2018
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors.
IEICE Trans. Inf. Syst., 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2017
2016
Credible, resilient, and scalable detection of software plagiarism using authority histograms.
Knowl. Based Syst., 2016
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016
2015
Effective and efficient detection of software theft via dynamic API authority vectors.
J. Syst. Softw., 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013